Handwritten-Digit-Classification

Developed an artificial neural network classifier for recognition of handwritten digits which was trained and tested using MNIST dataset giving 98% accuracy.

Technologies Used:

Python, CNN, numpy, matplotlib, keras, random, requests, cv2, OpenCV